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Integrated intelligent techniques for remarshaling and berthing in maritime terminals

机译:集成智能技术,可在海事终端机中进行编组和停泊

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Maritime container terminals are facilities where cargo containers are transshipped between ships or between ships and land vehicles (trucks or trains). These terminals involve a large number of complex and combinatorial problems. Two important problems are the container stacking problem and the berth allocation problem. Both problems are generally managed and solved independently but there exist a relationship that must be taken into account to optimize the whole process. The terminal operator normally demands all containers bound for an incoming vessel to be ready in the terminal before its arrival. Similarly, customers (i.e., vessel owners) expect prompt berthing of their vessels upon arrival. This is particularly important for vessels from priority customers who may have been guaranteed berth-on-arrival service in their contract with the terminal operator. To this end, both problems must be interrelated. In this paper, a set of artificial intelligence based-techniques for solving both problems is presented. We develop a planning technique for solving the container stacking problem and a set of optimized allocation algorithms for solving the berth allocation problem independently. Finally we have developed an architecture to solve both problems in an integrated way. Thus, an algorithm for solving the berth allocation problem generates an optimized order of vessels to be served meanwhile our container stacking problem heuristics calculate the minimum number of reshuffles needed to allocate the containers in the appropriate place for the obtained ordering of vessels. Thus combined optimal solutions can be calculated and the terminal operator could decide which solution is more appropriate in each case. These techniques will minimize disruptions and facilitate planning in container terminals.
机译:海上集装箱码头是在船舶之间或在船舶与陆地车辆(卡车或火车)之间转运货物集装箱的设施。这些终端涉及大量的复杂和组合问题。两个重要的问题是集装箱堆放问题和泊位分配问题。通常,这两个问题都是独立管理和解决的,但是必须存在一种关系,才能优化整个过程。码头操作员通常要求所有绑定有入港船只的集装箱在码头到达之前准备就绪。同样,客户(即船东)希望在抵达时迅速停泊其船只。对于优先客户的船只而言,这尤其重要,因为他们可能会在与码头运营商的合同中得到保证靠泊服务。为此,这两个问题必须相互联系。在本文中,提出了一套基于人工智能的技术来解决这两个问题。我们开发了一种用于解决集装箱堆叠问题的计划技术,以及一套用于独立解决泊位分配问题的优化分配算法。最后,我们开发了一种体系结构,以集成方式解决这两个问题。因此,用于解决泊位分配问题的算法可生成要服务的最佳船只顺序,同时我们的集装箱堆放问题启发式方法可计算出在需要的位置将集装箱分配给获得的船只顺序所需的最少改组次数。因此,可以计算出组合的最优解,并且终端运营商可以决定在每种情况下哪种解更合适。这些技术将最大程度地减少中断并促进集装箱码头的规划。

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